Graph neural networks (GNNs) for graph classification or representation learning require a
pooling operation to convert the nodes' embeddings of each graph to a vector as the graph …

Ensemble clustering based on co-association matrices effectively integrates multiple
connective matrices from base clusterings into superior results through weighted fusion …